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pro vyhledávání: '"Chang, Haoge"'
We consider the problem of generating confidence sets in randomized experiments with noncompliance. We show that a refinement of a randomization-based procedure proposed by Imbens and Rosenbaum (2005) has desirable properties. Namely, we show that us
Externí odkaz:
http://arxiv.org/abs/2404.18786
In recent years, generative AI has undergone major advancements, demonstrating significant promise in augmenting human productivity. Notably, large language models (LLM), with ChatGPT-4 as an example, have drawn considerable attention. Numerous artic
Externí odkaz:
http://arxiv.org/abs/2401.10956
Autor:
Chang, Haoge
This paper considers the estimation of treatment effects in randomized experiments with complex experimental designs, including cases with interference between units. We develop a design-based estimation theory for arbitrary experimental designs. Our
Externí odkaz:
http://arxiv.org/abs/2311.06891
Given a randomized experiment with binary outcomes, exact confidence intervals for the average causal effect of the treatment can be computed through a series of permutation tests. This approach requires minimal assumptions and is valid for all sampl
Externí odkaz:
http://arxiv.org/abs/2305.09906
We obtain a necessary and sufficient condition under which random-coefficient discrete choice models, such as mixed-logit models, are rich enough to approximate any nonparametric random utility models arbitrarily well across choice sets. The conditio
Externí odkaz:
http://arxiv.org/abs/2205.01882
In an influential critique of empirical practice, Freedman (2008) showed that the linear regression estimator was biased for the analysis of randomized controlled trials under the randomization model. Under Freedman's assumptions, we derive exact clo
Externí odkaz:
http://arxiv.org/abs/2110.08425
We consider design-based causal inference for spatial experiments in which treatments may have effects that bleed out and feed back in complex ways. Such spatial spillover effects violate the standard ``no interference'' assumption for standard causa
Externí odkaz:
http://arxiv.org/abs/2010.13599
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